Seminars

ML/Statistics Seminar by Xiaodong Li on “Convex Relaxation for Community Detection”

Machine Learning/Statistics Seminar Series Date/Time: Thursday Sep 7 2017, 11:00 pm – 12:00 pm Location: Advisory Boardroom, #402 Groseclose Speaker: Xiaodong Li Title: Convex Relaxation for Community Detection Abstract: Cluster structures are ubiquitous for large data, and community detection has recently attracted much research attention in applied physics, sociology, computer science and statistics due to… Continue reading ML/Statistics Seminar by Xiaodong Li on “Convex Relaxation for Community Detection”

Seminars

ML/Statistics Seminar by Jason Lee on “Matrix Completion, Saddlepoints, and Gradient Descent”

ML/Statistics Seminar Series Date/Time: Wed. Sep 6 2017, 3:00 pm – 4:00 pm Location: Advisory Boardroom, #402 Groseclose Speaker: Jason Lee Title: Matrix Completion, Saddlepoints, and Gradient Descent Abstract: Matrix completion is a fundamental machine learning problem with wide applications in collaborative filtering and recommender systems. Typically, matrix completion are solved by non-convex optimization procedures,… Continue reading ML/Statistics Seminar by Jason Lee on “Matrix Completion, Saddlepoints, and Gradient Descent”

Seminars

ML/Statistics Seminar by Junwei Lu on “Topological Inference on Large Scale Graphon”

Machine Learning/Statistics Seminar Series Date/Time: Thursday Aug 31 2017, 11:00 pm – 12:00 pm Location: Advisory Board Room, #402 Groseclose Speaker: Junwei Lu Title: Topological Inference on Large Scale Graphon Abstract: We propose to test the topological structures of complex networks under the graphon model. Graphon is a nonparametric model for large scale stochastic graphs.… Continue reading ML/Statistics Seminar by Junwei Lu on “Topological Inference on Large Scale Graphon”

Seminars

ML/Statistics Seminar by Mengyang Gu on “An improved approach to Bayesian computer model calibration and prediction”

Statistics/Machine Learning Seminar Series Date/Time: Tuesday Aug 15 2017, 3:00 pm – 4:00 pm Location: Advisory Board Room, #402 Groseclose Speaker: Mengyang Gu Title: An improved approach to Bayesian computer model calibration and prediction Abstract: We consider the problem of calibrating inexact computer models using experimental data. To compensate for the misspecification of the computer… Continue reading ML/Statistics Seminar by Mengyang Gu on “An improved approach to Bayesian computer model calibration and prediction”